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spatial-reasoning

7 articles · Page 1 of 1
Machine Heart
Machine Heart
Jun 24, 2026 · Artificial Intelligence

From Pixels to Words: A Native Vision-Language Model Unifies Images and Video

The paper introduces NEO‑ov, a native vision‑language model that discards external visual encoders, feeding raw pixels directly into a unified transformer, and demonstrates competitive performance on image, multi‑image, and video tasks—including fine‑grained perception and spatial reasoning—while outlining its three‑stage training pipeline and current limitations.

Qwenbenchmarkmultimodal
0 likes · 13 min read
From Pixels to Words: A Native Vision-Language Model Unifies Images and Video
Machine Heart
Machine Heart
Jun 24, 2026 · Artificial Intelligence

How APEIRIA Breaks the Black‑Box Barrier of 3D MLLMs (ICML 2026)

The paper introduces APEIRIA, a three‑stage curriculum that distills neuro‑symbolic program traces into 3D multi‑modal LLMs, enabling transparent spatial reasoning while preserving open‑vocabulary understanding, and demonstrates strong benchmark gains, modular upgrades, and zero‑shot generalization.

3D MLLMChain of ThoughtNeuro-Symbolic Reasoning
0 likes · 11 min read
How APEIRIA Breaks the Black‑Box Barrier of 3D MLLMs (ICML 2026)
AI Architecture Hub
AI Architecture Hub
Jun 23, 2026 · Artificial Intelligence

Top AI Papers This Week (June 14‑21): SpatialClaw, SkillWeaver, PreAct, and More

This article reviews seven recent AI research papers, detailing how SpatialClaw enables code‑based spatial reasoning for vision‑language models, SkillWeaver introduces compositional skill routing, PreAct compiles agent actions into reusable state‑machines, and other works advance world‑model inference, self‑designing RL environments, collective skill‑tree search, and process‑aligned reinforcement learning for diffusion LLMs.

Reinforcement Learningagent reasoningdiffusion models
0 likes · 15 min read
Top AI Papers This Week (June 14‑21): SpatialClaw, SkillWeaver, PreAct, and More
HyperAI Super Neural
HyperAI Super Neural
Mar 27, 2026 · Artificial Intelligence

Open-Source Reasoning Datasets: NVIDIA, OpenAI, Labs – Math, Spatial, Wiki QA

HyperAI has compiled a collection of high‑quality open‑source reasoning datasets—including Open‑RL, CHIMERA, Nemotron‑Math‑v2, OmniSpatial, FrontierScience, HotpotQA, VCR, and CIRR—covering math, multi‑step STEM problems, spatial reasoning, scientific tasks, wiki QA, and visual commonsense, all available for download or online use.

NVIDIAOpen-sourceOpenAI
0 likes · 9 min read
Open-Source Reasoning Datasets: NVIDIA, OpenAI, Labs – Math, Spatial, Wiki QA
AI Algorithm Path
AI Algorithm Path
Feb 16, 2026 · Artificial Intelligence

Why Visual Tokenizers Bridge the Gap Between Pixels and Meaning

Vision‑language models turn continuous images into discrete tokens through patch extraction, encoding, and projection, enabling Transformers to reason jointly over vision and text, but this compression introduces limits in spatial reasoning, counting, and resolution sensitivity that users must understand.

Multimodal FusionSelf-AttentionVision-Language Models
0 likes · 22 min read
Why Visual Tokenizers Bridge the Gap Between Pixels and Meaning
AntTech
AntTech
Jul 17, 2025 · Artificial Intelligence

How M2-Reasoning-7B Achieves State‑of‑the‑Art Spatial Reasoning in Multimodal AI

M2-Reasoning-7B, an open‑source 7B multimodal model from Ant Group, combines a high‑quality data pipeline with dynamic multi‑task training and a novel reward function to deliver state‑of‑the‑art performance on both general and spatial reasoning benchmarks, surpassing many larger competitors.

M2-Reasoningbenchmarklarge language model
0 likes · 9 min read
How M2-Reasoning-7B Achieves State‑of‑the‑Art Spatial Reasoning in Multimodal AI